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Method for predicting the heat energy conversion efficiency of a ground source heat pump system with working condition input

A heat energy conversion, ground source heat pump technology, applied in forecasting, energy-saving calculation, instruments, etc., can solve the problems of complex, difficult operation, unable to give analysis results, etc., to achieve the effect of simple model

Active Publication Date: 2019-05-17
SHANDONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method is very complicated, difficult to operate, and cannot give tangible analysis results

Method used

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  • Method for predicting the heat energy conversion efficiency of a ground source heat pump system with working condition input
  • Method for predicting the heat energy conversion efficiency of a ground source heat pump system with working condition input
  • Method for predicting the heat energy conversion efficiency of a ground source heat pump system with working condition input

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Embodiment 1

[0073] A method for predicting the thermal energy conversion efficiency of a ground source heat pump system with input of working conditions, such as figure 1 As shown, the steps are as follows:

[0074] A. Thermal data preprocessing

[0075] 1) Cleaning heat data;

[0076] 2) Seasonal decomposition and preliminary analysis of the time series of thermal energy conversion efficiency;

[0077] B. Establish an autoregressive model with external working condition parameter input

[0078] 3) Construct an autoregressive model framework with external working condition parameters;

[0079] 4) Construct a basic classification regression tree, generate a random forest, train a prediction model under different external working conditions, and select the least tree that makes the error no longer change; making the model the simplest.

[0080] C. Prediction of thermal energy conversion efficiency

[0081] According to the trained prediction model, the external working condition parameters and the time...

Embodiment 2

[0084] The method for predicting the thermal energy conversion efficiency of a ground source heat pump system with input of working conditions according to claim 1, the difference being:

[0085] The step A, thermal data preprocessing,

[0086] The thermal energy data of the ground-coupled heat pump system collected by "Geothermal Star" includes the time series of thermal energy conversion efficiency and external working condition parameters;

[0087] The time series of heat energy conversion efficiency includes: heat pump unit power consumption Y 1 , GSHP system power consumption Y 2 COPY 3 , GSHP system COP Y 4 , Y 1 , Y 2 , Y 3 , Y 4 Each piece of data is a time series of length L, L=360;

[0088] External working condition parameters include: drilling distribution form X 1 , Drilling radius X 2 , Buried pipe depth X 3 、Longitudinal spacing of buried pipe X 4 , Horizontal spacing of buried pipe X 5 、Number of buried pipes X 6 、The thermal conductivity of the filling material in the ...

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Abstract

The invention relates to a method for predicting the heat energy conversion efficiency of a ground source heat pump system with working condition input. The method comprises the following steps: A, preprocessing heat energy data; 1) cleaning the heat energy data; 2) performing seasonal decomposition and preliminary analysis on the time sequence of the heat energy conversion efficiency; B, establishing an autoregressive model with external working condition parameter input; 3, constructing an autoregressive model framework with external working condition parameters; 4) constructing a basic classification regression tree, generating a random forest, training prediction models under different external working condition parameters, and selecting at least one tree of the tree of which the erroris not changed any more; And C, according to the trained prediction model, performing prediction by integrating and inputting time sequences of external working condition parameters and the heat energy conversion efficiency, and outputting a prediction result and prediction precision. According to the method, the working condition parameters are introduced into time sequence prediction, so that aspecific more accurate prediction model can be obtained for different working condition parameters during prediction.

Description

Technical field [0001] The invention relates to a method for predicting the thermal energy conversion efficiency of a ground source heat pump system with input of working conditions, and belongs to the technical field of energy data mining. Background technique [0002] Ground source heat pump system (GSHP) is an air conditioning technology system that utilizes shallow underground geothermal resources to provide heating, cooling and domestic hot water services to buildings. Compared with general resources, heat pump systems have the following advantages: (1) Significant environmental and economic benefits, (2) No pollution and no waste to water sources, (3) Applications in air conditioning, cooling, heating and daily hot water supply, ( 4) Low maintenance cost and space saving. Because of its advantages of high efficiency, energy saving and environmental protection and in line with the concept of sustainable development, ground source heat pump systems have been widely used all ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/06G06F16/215G06F16/2458
CPCY02D10/00
Inventor 贲晛烨翟鑫亮庄兆意黄天欢黄以正薛天乐
Owner SHANDONG UNIV
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